Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tornberg, Lars"'
Autor:
Nykänen, Anton, Miller, Aaron, Talarico, Walter, Knecht, Stefan, Kovyrshin, Arseny, Skogh, Mårten, Tornberg, Lars, Broo, Anders, Mensa, Stefano, Symons, Benjamin C. B., Sahin, Emre, Crain, Jason, Tavernelli, Ivano, Pavošević, Fabijan
Nuclear quantum effects such as zero-point energy and hydrogen tunnelling play a central role in many biological and chemical processes. The nuclear-electronic orbital (NEO) approach captures these effects by treating selected nuclei quantum mechanic
Externí odkaz:
http://arxiv.org/abs/2310.01302
Autor:
Kovyrshin, Arseny, Skogh, Mårten, Tornberg, Lars, Broo, Anders, Mensa, Stefano, Sahin, Emre, Symons, Benjamin C. B., Crain, Jason, Tavernelli, Ivano
The combined quantum electron-nuclear dynamics is often associated with the Born-Huang expansion of the molecular wave function and the appearance of nonadiabatic effects as a perturbation. On the other hand, native multicomponent representations of
Externí odkaz:
http://arxiv.org/abs/2306.01671
Autor:
Henriksson, Jens, Berger, Christian, Borg, Markus, Tornberg, Lars, Sathyamoorthy, Sankar Raman, Englund, Cristofer
Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achievements over the past years; however, for using DNNs in safety critical
Externí odkaz:
http://arxiv.org/abs/2204.12378
Autor:
Henriksson, Jens, Berger, Christian, Borg, Markus, Tornberg, Lars, Sathyamoorthy, Sankar Raman, Englund, Cristofer
Several areas have been improved with Deep Learning during the past years. For non-safety related products adoption of AI and ML is not an issue, whereas in safety critical applications, robustness of such approaches is still an issue. A common chall
Externí odkaz:
http://arxiv.org/abs/2103.15580
Autor:
Chowdhury, Sohini Roy, Tornberg, Lars, Halvfordsson, Robin, Nordh, Jonatan, Gustafsson, Adam Suhren, Wall, Joel, Westerberg, Mattias, Wirehed, Adam, Tilloy, Louis, Hu, Zhanying, Tan, Haoyuan, Pan, Meng, Sjoberg, Jonas
Traffic sign identification using camera images from vehicles plays a critical role in autonomous driving and path planning. However, the front camera images can be distorted due to blurriness, lighting variations and vandalism which can lead to degr
Externí odkaz:
http://arxiv.org/abs/1911.06486
Autor:
Henriksson, Jens, Berger, Christian, Borg, Markus, Tornberg, Lars, Englund, Cristofer, Sathyamoorthy, Sankar Raman, Ursing, Stig
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years. However, before DNNs should be deployed to safety-critical applications, their robustness needs to be systematically analyzed. A common cha
Externí odkaz:
http://arxiv.org/abs/1903.01263
Autor:
Henriksson, Jens, Berger, Christian, Borg, Markus, Tornberg, Lars, Sathyamoorthy, Sankar Raman, Englund, Cristofer
Publikováno v:
In Information and Software Technology February 2021 130
Akademický článek
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Publikováno v:
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC); 2016, p107-112, 6p
Akademický článek
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